Specification and Estimation of Rating Scale Models: With an Application to the Determinants of Life Satisfaction

Rating variables indicate the extent to which a quality is present, or absent, in a unit of observation. In this paper, we discuss a class of non-linear regression models for rating dependent variables and their estimation by parametric and semiparametric methods. An application to life satisfaction illustrates the main differences between the Rating Scale Model and ordinary least squares.

MoreLess

Year of publication:	2011
Authors:	Studer, Raphael ; Winkelmann, Rainer
Publisher:	Berlin : Deutsches Institut für Wirtschaftsforschung (DIW)
Subject:	Regressionsanalyse \| Nichtparametrisches Verfahren \| Maximum-Likelihood-Schätzung \| Kleinste-Quadrate-Methode \| Theorie \| rating variables \| non-linear least squares \| quasi-maximum likelihood \| semiparametric least squares \| subjective well-being

freely available

Full text |

More access options

Check Google Scholar

In German libraries (KVK)

I need help

More details

Series:	SOEPpapers on Multidisciplinary Panel Data Research ; 372
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	660758458 [GVK] hdl:10419/150917 [Handle] RePEc:diw:diwsop:diw_sp372 [RePEc]
Classification:	C21 - Cross-Sectional Models; Spatial Models ; I0 - Health, Education, and Welfare. General
Source:	EconStor

Persistent link: https://www.econbiz.de/10011601014